Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andreas Sæbjørnsen
dblp:36/4151
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
code clone detection |
0.1 | 1 | 2009 | Detecting code clones in binary executables · ISSTA 2009 |
Software maintenance and evolution
reverse engineering |
0.0 | 1 | 2009 | Detecting code clones in binary executables · ISSTA 2009 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Detecting code clones in binary executablesabstractLarge software projects contain significant code duplication, mainly due to copying and pasting code. Many techniques have been developed to identify duplicated code to enable applications such as refactoring, detecting bugs, and protecting intellectual property. Because source code is often unavailable, especially for third-party software, finding duplicated code in binaries becomes particularly important. However, existing techniques operate primarily on source code, and no effective tool exists for binaries. Andreas Sæbjørnsen, Jeremiah Willcock, Thomas Panas, Daniel J. Quinlan, Zhendong Su 0001 |
ISSTA | 1 |
| 2007 | Communicating Software Architecture using a Unified Single-View VisualizationabstractSoftware is among the most complex human artifacts, and visualization is widely acknowledged as important to understanding software. In this paper, we consider the problem of understanding a software system's architecture through visualization. Whereas traditional visualizations use multiple stakeholder-specific views to present different kinds of task- specific information, we propose an additional visualization technique that unifies the presentation of various kinds of architecture-level information, thereby allowing a variety of stakeholders to quickly see and communicate current development, quality, and costs of a software system. For future empirical evaluation of multi-aspect, single-view architectural visualizations, we have implemented our idea in an existing visualization tool, Vizz3D. Our implementation includes techniques, such as the use of a city metaphor, that reduce visual complexity in order to support single-view visualizations of large-scale programs. Thomas Panas, Thomas Epperly, Daniel J. Quinlan, Andreas Sæbjørnsen, Richard W. Vuduc |
ICECCS | 4 |
| 2004 | Classification and Utilization of Abstractions for Optimization
Daniel J. Quinlan, Markus Schordan, Qing Yi, Andreas Sæbjørnsen |
ISoLA | 4 |